SOTAVerified

Robot Navigation

The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.

Source: Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding

Papers

Showing 76–100 of 542 papers

TitleStatusHype
DiSCO: Differentiable Scan Context with OrientationCode1
Robot Navigation in Constrained Pedestrian Environments using Reinforcement LearningCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Occupancy Anticipation for Efficient Exploration and NavigationCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal EstimationCode1
Object Goal Navigation using Goal-Oriented Semantic ExplorationCode1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environmentsCode1
Occlusion-Aware Depth Estimation with Adaptive Normal ConstraintsCode1
Vector Field Guided Path Following Control: Singularity Elimination and Global ConvergenceCode1
One-Shot Informed Robotic Visual Search in the WildCode1
Visual Navigation Among Humans with Optimal Control as a SupervisorCode1
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot NavigationCode1
Social Navigation with Human Empowerment driven Deep Reinforcement LearningCode1
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth CuesCode1
Learning View and Target Invariant Visual Servoing for NavigationCode1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
BADGR: An Autonomous Self-Supervised Learning-Based Navigation SystemCode1
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
BatVision: Learning to See 3D Spatial Layout with Two EarsCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered EnvironmentsCode1
TopoTag: A Robust and Scalable Topological Fiducial Marker SystemCode1
PyRobot: An Open-source Robotics Framework for Research and BenchmarkingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemExpSPL0.25—Unverified
2SRCB-robot-sudoerSPL0.12—Unverified
3Active Exploration (Pre-explore )SPL0.11—Unverified
4Blue OxSPL0.11—Unverified
5RLSPL0.06—Unverified
6Habitat-WebSPL0.03—Unverified
7Objects In Mirror Are Closer Than They AppearSPL0—Unverified
8CasaSPL0—Unverified
9PPO RGBDSPL0—Unverified
10Black SheepSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1THDASPL0.09—Unverified
26-Act TetherSPL0.08—Unverified
3SRCB-robot-sudoerSPL0.07—Unverified
4SemExpSPL0.07—Unverified
5Active Exploration (Pre-explore )SPL0.04—Unverified
6RGBD+DD-PPOSPL0.02—Unverified
7RL_20_torch_18SPL0.02—Unverified
8Blue OxSPL0.02—Unverified
9Black SheepSPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.53—Unverified
2SLAM-net + D*SPL0.38—Unverified
3OccupancyAnticipationSPL0.22—Unverified
4Information BottleneckSPL0.12—Unverified
5ego-localizationSPL0.12—Unverified
639SPL0.01—Unverified
7csoSPL0.01—Unverified
8UCULabSPL0.01—Unverified
9Habitat Team (RGBD+DD-PPO)SPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.61—Unverified
2OccupancyAnticipationSPL0.6—Unverified
3DANSPL0.53—Unverified
4Visual Odometry for Realistic PointGoal NavigationSPL0.5—Unverified
5ego-localizationSPL0.31—Unverified
6Information BottleneckSPL0.13—Unverified
7AlstarSPL0.05—Unverified
8RandomAgentSPL0—Unverified
9UCULabSPL0—Unverified